Diogo Soares
Diogo F. Soares and Sara C. Madeira publish Pattern Recognition Journal
Diogo Soares talk at BRIDges meeting
LASIGE Talks 5th Edition
LASIGE's 2024 PhD graduations
LASIGE's paper published in Nature Communications
LASIGE researchers Diogo F. Soares and Sara C. Madeira publish at Pattern Recognition
LASIGE team co-authors research published in Artificial Intelligence in Medicine journal
LASIGE PhD students participate on Ciências ULisboa and UPskill collaboration
LASIGE's paper published in Scientific Reports
8th LASIGE Workshop (2023)
LASIGE published in the Journal of Biomedical Informatics
Summer School @ LASIGE
LASIGE team at top 4 at Machine Learning competition
8 LASIGE students awarded with FCT PhD Research Scholarships
Diogo Soares talk at BRIDges meeting
LASIGE Talks 5th Edition
LASIGE's 2024 PhD graduations
LASIGE's paper published in Nature Communications
LASIGE researchers Diogo F. Soares and Sara C. Madeira publish at Pattern Recognition
LASIGE team co-authors research published in Artificial Intelligence in Medicine journal
LASIGE PhD students participate on Ciências ULisboa and UPskill collaboration
LASIGE's paper published in Scientific Reports
8th LASIGE Workshop (2023)
LASIGE published in the Journal of Biomedical Informatics
Summer School @ LASIGE
LASIGE team at top 4 at Machine Learning competition
8 LASIGE students awarded with FCT PhD Research Scholarships
ONGOING
| Acronym | Title | Funding Entity | Start Date | End Date |
|---|---|---|---|---|
| DETECT2AD | Two Alzheimer’s - Diagnosing distinct types of Alzheimer’s disease in CSF and plasma | COMPETE20230 EU FCT P2030 | 15/07/2025 | 15/07/2028 |
PAST
| Acronym | Title | Funding Entity | Start Date | End Date |
|---|---|---|---|---|
| BRAINTEASER | BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis | EU H2020 | 01/01/2021 | 30/06/2025 |
| AIpALS | Advanced LearnIng Models using Patient Profiles and Disease Progression Patterns for Prognostic Prediction in ALS | FCT | 01/03/2021 | 28/02/2025 |
| NEUROCLINOMICS2 | Unravelling Prognostic Markers in NEUROdegenerative diseases through CLINical and OMICS data integration | FCT | 01/07/2016 | 31/03/2020 |
Diogo F. Soares, Rui Henriques, Sara C. Madeira. TriHSPAM: Triclustering heterogeneous longitudinal clinical data using sequential patterns. Pattern Recognition, 167, Elsevier BV, 2025 [Biblios]
Andreia S. Martins, Daniela M. Amaral, Eduardo N. Castanho, Diogo F. Soares, Ruben Branco, Sara C. Madeira, Helena Aidos. Predicting the functional rating scale and self-assessment status of ALS patients with sensor data. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2024, pages 1366-1379. CEUR-WS.org, 2024 [Biblios]
Daniela M. Amaral, Diogo F. Soares, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos. Temporal stratification of amyotrophic lateral sclerosis patients using disease progression patterns. Nature Communications, 15(5717), Springer Science and Business Media LLC, 2024 [Biblios]
Diogo F. Soares, Rui Henriques, Sara C. Madeira. Comprehensive assessment of triclustering algorithms for three-way temporal data analysis. Pattern Recognition, 150, Elsevier BV, 2024 [Biblios]
Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo. Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artificial Intelligence in Medicine, Elsevier BV, 2023 [Biblios]
Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira. Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis. Scientific Reports, 13(1), Springer Science and Business Media LLC, 2023 [Biblios]
Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira. Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis. Journal of Biomedical Informatics, 134, Elsevier BV, 2022 [Biblios]
Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Susana Nunes, Filipa Serrano, Rita T. Sousa, Catia Pesquita, Sara C. Madeira, Helena Aidos. Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. In Intelligent Disease Progression Prediction (iDPP) at CLEF, pages 1211-1227. CEUR-WS.org, 2022 [Biblios]
Susana Nunes, Rita T. Sousa, Filipa Serrano, Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos, Catia Pesquita. Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2022. CEUR-WS.org, 2022 [Biblios]
Diogo Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira. Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS. In Advances in Intelligent Systems and Computing,Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020), pages 112-122. Springer International Publishing, 2020 [Biblios]